Value Added Data Systems – Principles and Architecture

In automating data wrangling, a key feature of VADA is that the automation takes account of the data context and the user context. The data context is supplementary data about the result of the data wrangling process. The user context is information about what is important to the user, as likely there are trade-offs between different features of the result, such as the correctness and the completeness.

A paper on data context [1] was presented in December 2017 at IEEE Big Data in Boston, and a paper on the user context for source selection [2] has been published in Information Sciences.